robot-vision-control

RVC (Robot Vision & Control)

Exemplary code and configuration for two uses cases:

• Dynamic tracking of AI based object detection using Universal Robot UR5e
• Static tracking of computer vision detection using direct pendant control of UR5e

Interactive development using VSCode and DevContainer

Prerequisites

Installed and properly configured tools:

• Visual Studio Code
• Docker

Build & develop

• Start Visual Studio Code

• Open rvc folder (this file's parent folder) as DevContainer

• Run provided tasks, e.g. the Build task ( with Ctrl + Shift + B )

Run examples

To execute the demos, run respectively:

• ros2 launch rvc_dynamic_motion_controller_use_case dynamic_demo_launch.py robot_ip:=<robot_ip>
• ros2 launch rvc_static_motion_controller_use_case static_demo_launch.py robot_ip:=<robot_ip>

Note:

This source code is currently in pre-release stage and may be unstable or incomplete. Use with caution in production environments. Feedback and contributions are welcome as the component continues to evolve.